How to implement end-to-end security for IoT device chipsets and cloud-based platform-as-a-service.
The Internet of Things (IoT) market is caught in the difficult position of needing security, but, due to the fractured nature of the market, do not have an easy way of implementing a robust security solution. The Rambus CryptoManager IoT Device Management is a turnkey device-to-cloud solution that provides seamless end-to-end secure connectivity throughout all stages of the device life-cycle. Specific features include device identification and mutual authentication, disaster recovery and key management, device attestation, and decommissioning and re-assignment of keys to better manage devices and mitigate various attacks. The CryptoManager IoT Device Management solution is pre-integrated with the IoT device chipsets and popular cloud Platform as a Service (PaaS), creating an easily integrated and deployed solution. When a device is powered up and connected to the internet, it automatically connects to the IoT Device Management service, seamlessly authenticates, and provisions relevant security credentials.
To accommodate the various requirements of OEMs and service providers, the Rambus CryptoManager IoT Device Management provides flexible deployments. Rambus provides all the required components to enable seamless integration for both the OEM and service provider, creating a one-stop-shop for IoT security.
To read more, click here.
New architectures, different markets and more variables make it increasingly difficult to design and verify low-power chips.
Sixteen startups attracted funding rounds of nine figures in November.
How good are standard FPGAs for AI purposes, and how different will dedicated FPGA-based devices be from them?
More nodes and alternative memories are in the works, but schedules remain murky.
Next-gen litho is important for scaling, but it’s also expensive and potentially risky.
New approaches to managing and processing data emerge, along with standard ways to compare them.
A new crop of memories in R&D could have a big impact on future compute architectures.
Why Intel, AMD, Arm, and IBM are focusing on architectures, microarchitectures, and functional changes.
Marvell & NAV Alliance; drone bill; Hyundai’s $35B plan; Intel’s edge play; 7nm certifications.
September was spectacular for startups, as 27 tech companies raised $100 million or more, taking in a total of $7.1 billion during the month.
ML will augment existing manufacturing processes, but it won’t replace them.
New approaches aim to drive down cost, boost benefits of heterogeneous integration.
Moving large amounts of data around a system is no longer the path to success. It is too slow and consumes too much power. It is time to flip the equation.
Leave a Reply